Generative AI for Software Test Automation

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Course Overview

Generative AI can assist in practical test automation work such as generating test scenarios, producing automated test code, reviewing existing tests, and helping design automation approaches. This three-day course introduces how to apply generative AI across the test automation lifecycle while ensuring that all outputs are validated through human review, execution, and technical judgment. The course is hands-on and uses a coherent case study implemented in multiple architectural styles to demonstrate how to adapt automation approaches. Participants work with AI-generated test scenarios and automated tests, evaluate their quality, correct errors, and refine prompts and test structures. The course also covers how automated tests are organized, executed, and integrated into development and delivery workflows.

Who Should Attend

Any individual who is using AI for software testing and software automation will benefit from this course

Course Objectives

• Use generative AI to produce and refine test scenarios for functional, boundary, and error conditions in a defined application.
• Evaluate AI-generated test scenarios and test code for correctness, coverage, and alignment with specified requirements.
• Generate and execute automated unit and UI tests using a test automation framework.
• Identify and correct errors in AI-generated test code through debugging and test execution feedback.
• Apply appropriate test design techniques, including assertions, test structure, and locator selection for UI automation.
• Distinguish between unit, integration, API, and UI tests and select appropriate automation approaches for each.
• Incorporate automated tests into a basic continuous integration workflow and interpret test results for decision-making.

Course Outline